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首页> 外文期刊>Advances in Experimental Medicine and Biology >In Vivo Interrogation of the Hypoxic Transcriptome of Solid Tumors: Optimizing Hypoxic Probe Labeling with Laser Capture Microdissection for Isolation of High-Quality RNA for Deep Sequencing Analysis
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In Vivo Interrogation of the Hypoxic Transcriptome of Solid Tumors: Optimizing Hypoxic Probe Labeling with Laser Capture Microdissection for Isolation of High-Quality RNA for Deep Sequencing Analysis

机译:体内肿瘤的低氧转录组的审问:激光捕获显微切割优化低氧探针标记,以分离用于深度测序分析的高质量RNA

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摘要

Global gene expression analysis is a powerful method for identifying biological networks and regulatory mechanisms that govern cellular or tissue-level responses to physiologic stress. In the context of tumor biology, differential gene expression studies have provided information about the growth, aggressiveness, prognosis, and therapeutic response of tumors in patients. Scientists are using these valuable data to investigate pathways that can be targeted therapeutically with the goal of improving patient outcome. RNA sequencing enables nucleotide resolution of expression of whole transcriptomes, but arrives with a new set of challenges surrounding the management and analysis of large datasets. This chapter aims to review technical advancements to current methods for isolating high-quality RNA for sequencing studies directly from hypoxic tissues and introduces select widely used applications for gene expression analyses of next-generation sequencing data.
机译:全局基因表达分析是一种强大的方法,可用于识别控制细胞或组织对生理应激反应的生物网络和调控机制。在肿瘤生物学的背景下,差异基因表达研究已提供了有关患者肿瘤生长,侵袭性,预后和治疗反应的信息。科学家正在利用这些有价值的数据来研究可以改善治疗效果的靶向治疗途径。 RNA测序可实现完整转录组表达的核苷酸解析,但伴随着大型数据集的管理和分析面临的一系列新挑战。本章旨在回顾从低氧组织中直接分离用于测序研究的高质量RNA的当前方法的技术进展,并介绍广泛用于下一代测序数据的基因表达分析的应用程序。

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